About the job
About Mercor
Mercor partners with leading AI labs and enterprises to advance the future of work. The company’s network of over 30,000 experts earns more than $2 million daily, sharing expertise that supports AI development beyond just code. Mercor’s mission is to create a new category of work where deep knowledge drives progress in artificial intelligence.
Mercor is a Series C company valued at $10 billion. The team works in person five days a week from offices in San Francisco, New York City, and London.
Role Overview: Engineering Manager, Applied AI
This role leads engineering teams within the Applied AI division, focusing on systems that improve model quality, such as evaluation infrastructure and annotation tools. The Engineering Manager works closely with product and research groups to keep Mercor’s technology at the forefront of AI. The position is based in San Francisco and requires full-time, on-site presence.
Key work includes building partnerships with top AI labs and directly improving advanced models through better data management, evaluation, and system enhancements. This role calls for strategic thinking, a hands-on leadership approach, and a strong sense of ownership.
Main Responsibilities
Team Development
- Manage and grow a team of 6-10 engineers
- Mentor engineers and support their professional growth
- Foster a culture of ownership and set high expectations for execution
- Shape hiring processes and engineering practices to build a high-performing team
Applied AI Systems
- Create insights and methods for evaluation systems that measure and improve model performance
- Lead projects to improve data quality, operational efficiency, system stability, and scalability
- Scale products that generate high-quality training data and refine human-in-the-loop workflows
Technical Leadership
- Guide system design for complex AI applications

